2024-02-14 14:08:29 +01:00
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import subprocess
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import pytest
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import facefusion.globals
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from facefusion.download import conditional_download
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2024-03-20 10:02:08 +01:00
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from facefusion.face_analyser import pre_check, clear_face_analyser, get_one_face
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2024-02-14 14:08:29 +01:00
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from facefusion.typing import Face
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from facefusion.vision import read_static_image
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@pytest.fixture(scope = 'module', autouse = True)
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def before_all() -> None:
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conditional_download('.assets/examples',
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[
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'https://github.com/facefusion/facefusion-assets/releases/download/examples/source.jpg'
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])
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subprocess.run([ 'ffmpeg', '-i', '.assets/examples/source.jpg', '-vf', 'crop=iw*0.8:ih*0.8', '.assets/examples/source-80crop.jpg' ])
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subprocess.run([ 'ffmpeg', '-i', '.assets/examples/source.jpg', '-vf', 'crop=iw*0.7:ih*0.7', '.assets/examples/source-70crop.jpg' ])
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subprocess.run([ 'ffmpeg', '-i', '.assets/examples/source.jpg', '-vf', 'crop=iw*0.6:ih*0.6', '.assets/examples/source-60crop.jpg' ])
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@pytest.fixture(autouse = True)
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def before_each() -> None:
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Next (#436)
* Rename landmark 5 variables
* Mark as NEXT
* Render tabs for multiple ui layout usage
* Allow many face detectors at once, Add face detector tweaks
* Remove face detector tweaks for now (kinda placebo)
* Fix lint issues
* Allow rendering the landmark-5 and landmark-5/68 via debugger
* Fix naming
* Convert face landmark based on confidence score
* Convert face landmark based on confidence score
* Add scrfd face detector model (#397)
* Add scrfd face detector model
* Switch to scrfd_2.5g.onnx model
* Just some renaming
* Downgrade OpenCV, Add SYSTEM_VERSION_COMPAT=0 for MacOS
* Improve naming
* prepare detect frame outside of semaphore
* Feat/process manager (#399)
* Minor naming
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Remove useless test for now
* Avoid useless variables
* Show stop once is_processing is True
* Allow to stop ffmpeg processing too
* Implement output image resolution (#403)
* Implement output image resolution
* Reorder code
* Simplify output logic and therefore fix bug
* Frame-enhancer-onnx (#404)
* changes
* changes
* changes
* changes
* add models
* update workflow
* Some cleanup
* Some cleanup
* Feat/frame enhancer polishing (#410)
* Some cleanup
* Polish the frame enhancer
* Frame Enhancer: Add more models, optimize processing
* Minor changes
* Improve readability of create_tile_frames and merge_tile_frames
* We don't have enough models yet
* Feat/face landmarker score (#413)
* Introduce face landmarker score
* Fix testing
* Fix testing
* Use release for score related sliders
* Reduce face landmark fallbacks
* Scores and landmarks in Face dict, Change color-theme in face debugger
* Scores and landmarks in Face dict, Change color-theme in face debugger
* Fix some naming
* Add 8K support (for whatever reasons)
* Fix testing
* Using get() for face.landmarks
* Introduce statistics
* More statistics
* Limit the histogram equalization
* Enable queue() for default layout
* Improve copy_image()
* Fix error when switching detector model
* Always set UI values with globals if possible
* Use different logic for output image and output video resolutions
* Enforce re-download if file size is off
* Remove unused method
* Remove unused method
* Remove unused warning filter
* Improved output path normalization (#419)
* Handle some exceptions
* Handle some exceptions
* Cleanup
* Prevent countless thread locks
* Listen to user feedback
* Fix webp edge case
* Feat/cuda device detection (#424)
* Introduce cuda device detection
* Introduce cuda device detection
* it's gtx
* Move logic to run_nvidia_smi()
* Finalize execution device naming
* Finalize execution device naming
* Merge execution_helper.py to execution.py
* Undo lowercase of values
* Undo lowercase of values
* Finalize naming
* Add missing entry to ini
* fix lip_syncer preview (#426)
* fix lip_syncer preview
* change
* Refresh preview on trim changes
* Cleanup frame enhancers and remove useless scale in merge_video() (#428)
* Keep lips over the whole video once lip syncer is enabled (#430)
* Keep lips over the whole video once lip syncer is enabled
* changes
* changes
* Fix spacing
* Use empty audio frame on silence
* Use empty audio frame on silence
* Fix ConfigParser encoding (#431)
facefusion.ini is UTF8 encoded but config.py doesn't specify encoding which results in corrupted entries when non english characters are used.
Affected entries:
source_paths
target_path
output_path
* Adjust spacing
* Improve the GTX 16 series detection
* Use general exception to catch ParseError
* Use general exception to catch ParseError
* Host frame enhancer models4
* Use latest onnxruntime
* Minor changes in benchmark UI
* Different approach to cancel ffmpeg process
* Add support for amd amf encoders (#433)
* Add amd_amf encoders
* remove -rc cqp from amf encoder parameters
* Improve terminal output, move success messages to debug mode
* Improve terminal output, move success messages to debug mode
* Minor update
* Minor update
* onnxruntime 1.17.1 matches cuda 12.2
* Feat/improved scaling (#435)
* Prevent useless temp upscaling, Show resolution and fps in terminal output
* Remove temp frame quality
* Remove temp frame quality
* Tiny cleanup
* Default back to png for temp frames, Remove pix_fmt from frame extraction due mjpeg error
* Fix inswapper fallback by onnxruntime
* Fix inswapper fallback by major onnxruntime
* Fix inswapper fallback by major onnxruntime
* Add testing for vision restrict methods
* Fix left / right face mask regions, add left-ear and right-ear
* Flip right and left again
* Undo ears - does not work with box mask
* Prepare next release
* Fix spacing
* 100% quality when using jpg for temp frames
* Use span_kendata_x4 as default as of speed
* benchmark optimal tile and pad
* Undo commented out code
* Add real_esrgan_x4_fp16 model
* Be strict when using many face detectors
---------
Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
Co-authored-by: aldemoth <159712934+aldemoth@users.noreply.github.com>
2024-03-14 19:56:54 +01:00
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facefusion.globals.face_detector_score = 0.5
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facefusion.globals.face_landmarker_score = 0.5
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facefusion.globals.face_recognizer_model = 'arcface_inswapper'
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2024-02-14 14:08:29 +01:00
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clear_face_analyser()
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def test_get_one_face_with_retinaface() -> None:
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facefusion.globals.face_detector_model = 'retinaface'
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facefusion.globals.face_detector_size = '320x320'
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Next (#436)
* Rename landmark 5 variables
* Mark as NEXT
* Render tabs for multiple ui layout usage
* Allow many face detectors at once, Add face detector tweaks
* Remove face detector tweaks for now (kinda placebo)
* Fix lint issues
* Allow rendering the landmark-5 and landmark-5/68 via debugger
* Fix naming
* Convert face landmark based on confidence score
* Convert face landmark based on confidence score
* Add scrfd face detector model (#397)
* Add scrfd face detector model
* Switch to scrfd_2.5g.onnx model
* Just some renaming
* Downgrade OpenCV, Add SYSTEM_VERSION_COMPAT=0 for MacOS
* Improve naming
* prepare detect frame outside of semaphore
* Feat/process manager (#399)
* Minor naming
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Remove useless test for now
* Avoid useless variables
* Show stop once is_processing is True
* Allow to stop ffmpeg processing too
* Implement output image resolution (#403)
* Implement output image resolution
* Reorder code
* Simplify output logic and therefore fix bug
* Frame-enhancer-onnx (#404)
* changes
* changes
* changes
* changes
* add models
* update workflow
* Some cleanup
* Some cleanup
* Feat/frame enhancer polishing (#410)
* Some cleanup
* Polish the frame enhancer
* Frame Enhancer: Add more models, optimize processing
* Minor changes
* Improve readability of create_tile_frames and merge_tile_frames
* We don't have enough models yet
* Feat/face landmarker score (#413)
* Introduce face landmarker score
* Fix testing
* Fix testing
* Use release for score related sliders
* Reduce face landmark fallbacks
* Scores and landmarks in Face dict, Change color-theme in face debugger
* Scores and landmarks in Face dict, Change color-theme in face debugger
* Fix some naming
* Add 8K support (for whatever reasons)
* Fix testing
* Using get() for face.landmarks
* Introduce statistics
* More statistics
* Limit the histogram equalization
* Enable queue() for default layout
* Improve copy_image()
* Fix error when switching detector model
* Always set UI values with globals if possible
* Use different logic for output image and output video resolutions
* Enforce re-download if file size is off
* Remove unused method
* Remove unused method
* Remove unused warning filter
* Improved output path normalization (#419)
* Handle some exceptions
* Handle some exceptions
* Cleanup
* Prevent countless thread locks
* Listen to user feedback
* Fix webp edge case
* Feat/cuda device detection (#424)
* Introduce cuda device detection
* Introduce cuda device detection
* it's gtx
* Move logic to run_nvidia_smi()
* Finalize execution device naming
* Finalize execution device naming
* Merge execution_helper.py to execution.py
* Undo lowercase of values
* Undo lowercase of values
* Finalize naming
* Add missing entry to ini
* fix lip_syncer preview (#426)
* fix lip_syncer preview
* change
* Refresh preview on trim changes
* Cleanup frame enhancers and remove useless scale in merge_video() (#428)
* Keep lips over the whole video once lip syncer is enabled (#430)
* Keep lips over the whole video once lip syncer is enabled
* changes
* changes
* Fix spacing
* Use empty audio frame on silence
* Use empty audio frame on silence
* Fix ConfigParser encoding (#431)
facefusion.ini is UTF8 encoded but config.py doesn't specify encoding which results in corrupted entries when non english characters are used.
Affected entries:
source_paths
target_path
output_path
* Adjust spacing
* Improve the GTX 16 series detection
* Use general exception to catch ParseError
* Use general exception to catch ParseError
* Host frame enhancer models4
* Use latest onnxruntime
* Minor changes in benchmark UI
* Different approach to cancel ffmpeg process
* Add support for amd amf encoders (#433)
* Add amd_amf encoders
* remove -rc cqp from amf encoder parameters
* Improve terminal output, move success messages to debug mode
* Improve terminal output, move success messages to debug mode
* Minor update
* Minor update
* onnxruntime 1.17.1 matches cuda 12.2
* Feat/improved scaling (#435)
* Prevent useless temp upscaling, Show resolution and fps in terminal output
* Remove temp frame quality
* Remove temp frame quality
* Tiny cleanup
* Default back to png for temp frames, Remove pix_fmt from frame extraction due mjpeg error
* Fix inswapper fallback by onnxruntime
* Fix inswapper fallback by major onnxruntime
* Fix inswapper fallback by major onnxruntime
* Add testing for vision restrict methods
* Fix left / right face mask regions, add left-ear and right-ear
* Flip right and left again
* Undo ears - does not work with box mask
* Prepare next release
* Fix spacing
* 100% quality when using jpg for temp frames
* Use span_kendata_x4 as default as of speed
* benchmark optimal tile and pad
* Undo commented out code
* Add real_esrgan_x4_fp16 model
* Be strict when using many face detectors
---------
Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
Co-authored-by: aldemoth <159712934+aldemoth@users.noreply.github.com>
2024-03-14 19:56:54 +01:00
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2024-03-20 10:02:08 +01:00
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pre_check()
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Next (#436)
* Rename landmark 5 variables
* Mark as NEXT
* Render tabs for multiple ui layout usage
* Allow many face detectors at once, Add face detector tweaks
* Remove face detector tweaks for now (kinda placebo)
* Fix lint issues
* Allow rendering the landmark-5 and landmark-5/68 via debugger
* Fix naming
* Convert face landmark based on confidence score
* Convert face landmark based on confidence score
* Add scrfd face detector model (#397)
* Add scrfd face detector model
* Switch to scrfd_2.5g.onnx model
* Just some renaming
* Downgrade OpenCV, Add SYSTEM_VERSION_COMPAT=0 for MacOS
* Improve naming
* prepare detect frame outside of semaphore
* Feat/process manager (#399)
* Minor naming
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Introduce process manager to start and stop
* Remove useless test for now
* Avoid useless variables
* Show stop once is_processing is True
* Allow to stop ffmpeg processing too
* Implement output image resolution (#403)
* Implement output image resolution
* Reorder code
* Simplify output logic and therefore fix bug
* Frame-enhancer-onnx (#404)
* changes
* changes
* changes
* changes
* add models
* update workflow
* Some cleanup
* Some cleanup
* Feat/frame enhancer polishing (#410)
* Some cleanup
* Polish the frame enhancer
* Frame Enhancer: Add more models, optimize processing
* Minor changes
* Improve readability of create_tile_frames and merge_tile_frames
* We don't have enough models yet
* Feat/face landmarker score (#413)
* Introduce face landmarker score
* Fix testing
* Fix testing
* Use release for score related sliders
* Reduce face landmark fallbacks
* Scores and landmarks in Face dict, Change color-theme in face debugger
* Scores and landmarks in Face dict, Change color-theme in face debugger
* Fix some naming
* Add 8K support (for whatever reasons)
* Fix testing
* Using get() for face.landmarks
* Introduce statistics
* More statistics
* Limit the histogram equalization
* Enable queue() for default layout
* Improve copy_image()
* Fix error when switching detector model
* Always set UI values with globals if possible
* Use different logic for output image and output video resolutions
* Enforce re-download if file size is off
* Remove unused method
* Remove unused method
* Remove unused warning filter
* Improved output path normalization (#419)
* Handle some exceptions
* Handle some exceptions
* Cleanup
* Prevent countless thread locks
* Listen to user feedback
* Fix webp edge case
* Feat/cuda device detection (#424)
* Introduce cuda device detection
* Introduce cuda device detection
* it's gtx
* Move logic to run_nvidia_smi()
* Finalize execution device naming
* Finalize execution device naming
* Merge execution_helper.py to execution.py
* Undo lowercase of values
* Undo lowercase of values
* Finalize naming
* Add missing entry to ini
* fix lip_syncer preview (#426)
* fix lip_syncer preview
* change
* Refresh preview on trim changes
* Cleanup frame enhancers and remove useless scale in merge_video() (#428)
* Keep lips over the whole video once lip syncer is enabled (#430)
* Keep lips over the whole video once lip syncer is enabled
* changes
* changes
* Fix spacing
* Use empty audio frame on silence
* Use empty audio frame on silence
* Fix ConfigParser encoding (#431)
facefusion.ini is UTF8 encoded but config.py doesn't specify encoding which results in corrupted entries when non english characters are used.
Affected entries:
source_paths
target_path
output_path
* Adjust spacing
* Improve the GTX 16 series detection
* Use general exception to catch ParseError
* Use general exception to catch ParseError
* Host frame enhancer models4
* Use latest onnxruntime
* Minor changes in benchmark UI
* Different approach to cancel ffmpeg process
* Add support for amd amf encoders (#433)
* Add amd_amf encoders
* remove -rc cqp from amf encoder parameters
* Improve terminal output, move success messages to debug mode
* Improve terminal output, move success messages to debug mode
* Minor update
* Minor update
* onnxruntime 1.17.1 matches cuda 12.2
* Feat/improved scaling (#435)
* Prevent useless temp upscaling, Show resolution and fps in terminal output
* Remove temp frame quality
* Remove temp frame quality
* Tiny cleanup
* Default back to png for temp frames, Remove pix_fmt from frame extraction due mjpeg error
* Fix inswapper fallback by onnxruntime
* Fix inswapper fallback by major onnxruntime
* Fix inswapper fallback by major onnxruntime
* Add testing for vision restrict methods
* Fix left / right face mask regions, add left-ear and right-ear
* Flip right and left again
* Undo ears - does not work with box mask
* Prepare next release
* Fix spacing
* 100% quality when using jpg for temp frames
* Use span_kendata_x4 as default as of speed
* benchmark optimal tile and pad
* Undo commented out code
* Add real_esrgan_x4_fp16 model
* Be strict when using many face detectors
---------
Co-authored-by: Harisreedhar <46858047+harisreedhar@users.noreply.github.com>
Co-authored-by: aldemoth <159712934+aldemoth@users.noreply.github.com>
2024-03-14 19:56:54 +01:00
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source_paths =\
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[
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'.assets/examples/source.jpg',
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'.assets/examples/source-80crop.jpg',
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'.assets/examples/source-70crop.jpg',
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'.assets/examples/source-60crop.jpg'
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]
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for source_path in source_paths:
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source_frame = read_static_image(source_path)
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face = get_one_face(source_frame)
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assert isinstance(face, Face)
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def test_get_one_face_with_scrfd() -> None:
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facefusion.globals.face_detector_model = 'scrfd'
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facefusion.globals.face_detector_size = '640x640'
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2024-02-14 14:08:29 +01:00
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2024-03-20 10:02:08 +01:00
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pre_check()
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2024-02-14 14:08:29 +01:00
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source_paths =\
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[
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'.assets/examples/source.jpg',
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'.assets/examples/source-80crop.jpg',
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'.assets/examples/source-70crop.jpg',
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'.assets/examples/source-60crop.jpg'
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]
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for source_path in source_paths:
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source_frame = read_static_image(source_path)
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face = get_one_face(source_frame)
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assert isinstance(face, Face)
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def test_get_one_face_with_yoloface() -> None:
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facefusion.globals.face_detector_model = 'yoloface'
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facefusion.globals.face_detector_size = '640x640'
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2024-03-20 10:02:08 +01:00
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pre_check()
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2024-02-14 14:08:29 +01:00
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source_paths =\
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[
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'.assets/examples/source.jpg',
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'.assets/examples/source-80crop.jpg',
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'.assets/examples/source-70crop.jpg',
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'.assets/examples/source-60crop.jpg'
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]
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for source_path in source_paths:
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source_frame = read_static_image(source_path)
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face = get_one_face(source_frame)
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assert isinstance(face, Face)
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def test_get_one_face_with_yunet() -> None:
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facefusion.globals.face_detector_model = 'yunet'
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facefusion.globals.face_detector_size = '640x640'
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2024-03-20 10:02:08 +01:00
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pre_check()
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2024-02-14 14:08:29 +01:00
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source_paths =\
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[
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'.assets/examples/source.jpg',
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'.assets/examples/source-80crop.jpg',
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'.assets/examples/source-70crop.jpg',
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'.assets/examples/source-60crop.jpg'
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]
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for source_path in source_paths:
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source_frame = read_static_image(source_path)
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face = get_one_face(source_frame)
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assert isinstance(face, Face)
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